VeriFinger SDK
Fingerprint identification for stand-alone or client-server solutions
VeriFinger is a fingerprint identification technology designed for biometric systems developers and integrators. The technology assures system performance with fast, reliable fingerprint matching in 1-to-1 and 1-to-many modes.
Available as a software development kit that allows development of stand-alone and network-based solutions on Microsoft Windows, Linux, macOS, iOS and Android platforms.
Technical Specifications
500 ppi is the recommended fingerprint image resolution for VeriFinger. The minimal fingerprint image resolution is 250 ppi. Also, the matching algorithm has a special mode for matching different scale fingerprint records, like different image resolutions or age-related changes in finger size.
All fingerprint templates should be loaded into RAM before identification, thus the maximum fingerprint templates database size is limited by the amount of available RAM.
VeriFinger biometric template extraction and matching algorithm is designed to run on multi-core processors allowing to reach maximum possible performance on the used hardware.
| VeriFinger 13.0 fingerprint engine specifications | ||||
|---|---|---|---|---|
| Embedded / mobile (1) platform |
PC-based (2) platform |
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| Template extraction components | Mobile Fingerprint Extractor |
Mobile Fingerprint Client |
Fingerprint Extractor |
Fingerprint Client |
| Template extraction time (seconds) | 1.34 | 1.20 | 1.34 | 0.60 |
| Template matching components | Mobile Fingerprint Matcher |
Fingerprint Matcher | ||
| Template matching speed (3) (fingerprints per second) |
3,000 | 40,000 | ||
| Single flat/plain fingerprint record size in a template (bytes) | 300 - 3,200 (configurable) |
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| Single rolled fingerprint record size in a template (bytes) | 1,100 - 6,600 (configurable) |
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Notes:
(1) Requires to be run on iOS devices or Android devices based on at least Snapdragon S4 system-on-chip with Krait 300 processor (4 cores, 1.51 GHz).
(2) Requires to be run on PC or laptop with at least Intel Core i7-8700K processor.
(3) Speeds are provided for the maximized matching speed scenario.
The templates should be extracted from images, which are not larger than 500 x 500 pixels.
Setting the matching algorithm to higher accuracy or using templates from larger fingerprint images will require more powerful hardware to reach the specified speed.
